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All Journal Techno.Com: Jurnal Teknologi Informasi JURNAL MEDIA INFORMATIKA BUDIDARMA JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) JSI (Jurnal sistem Informasi) Universitas Suryadarma JURNAL KAJIAN TEKNIK MESIN Jurnal Mantik Cyber Security dan Forensik Digital (CSFD) Tematik : Jurnal Teknologi Informasi Komunikasi Jurnal Sains Teknologi dalam Pemberdayaan Masyarakat Jurnal Jaring SainTek Jurnal Pengabdian Masyarakat Indonesia Journal of Students‘ Research in Computer Science (JSRCS) J-Intech (Journal of Information and Technology) Jurnal Sistim Informasi dan Teknologi Jurnal Pengabdian Pelitabangsa Jurnal Manajemen Informatika dan Bisnis Digital Indonesian Journal of Education And Computer Science Journal of Computer Science Contributions (Jucosco) Journal of Informatics and Information Security IKRAM: Jurnal Ilmu Komputer Al Muslim
Joniwarta
Program Studi Informatika, Fakultas Ilmu Komputer, Universitas Bhayangkara Jakarta Raya
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Journal : Journal of Informatics and Information Security

 1 
Manajemen Pengetahuan Salah Sebagai Satu Jalan Dalam Pengembangan Lembaga Pendidikan Unggul Pada Tk Bina Mulia Cibitung Khaerudin, Muhamad; Warta, Joni; Dwi Budi Srisulistiowati
Journal of Informatic and Information Security Vol. 1 No. 2 (2020): Desember 2020
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/jiforty.v1i2.390

Abstract

Along with the significant development of life progress, the competition that occurs requires people to follow the flow of adjustments as well as the world of education which now provides many alternative choices and levels of quality. Educational institutions need to develop their competitive advantage in order to survive, compete and sustain their survival properly. The resources needed to maintain its survival are not solely from traditional resources but must also come from intangible resources, namely knowledge. To benefit from the knowledge they have and what knowledge they must have, educational institutions / organizations must manage their knowledge through knowledge management. Consciously, educational institutions must know the knowledge they have and their benefits to improve performance and increase innovation and creativity. To achieve superior educational institutions, knowledge management is needed, namely the ability to create and maintain value that is greater than the competitiveness of the core institution. Knowledge and experience are able to create, communicate and apply knowledge about various things to achieve organizational goals, namely to become a superior educational institution.
Penerapan Algoritma Sequential Search Pada Sistem Informasi Pendataan Peralatan Outdoor Di UKM Kapal Baja Irsya Fadillah; Warta, Joni
Journal of Informatic and Information Security Vol. 4 No. 2 (2023): Desember 2023
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/y4ek7j68

Abstract

This research designs and implements a website-based goods inventory application using the Sequential Search (SS) algorithm in Steel Ship UKM. The aim is to overcome problems that often occur in the process of borrowing and returning goods, frequent loss of goods, and to be more efficient in recording outdoor equipment. Implementation of this sequential search algorithm to search for items based on the date the user borrowed and returned the item. This evaluation was carried out on the logistics bureau division in recording goods, borrowing and returning goods in real world conditions within the organization and externally. The results of this research show that the application Website-based inventory of goods that utilizes the sequential search (SS) algorithm can provide an effective solution for recording outdoor equipment and borrowing and returning outdoor equipment transactions both internally and externally at UKM Kapal Baja.
Sistem Pengelolaan Kegiatan Perusahaan Menggunakan Identifikasi QR Code Dani Yusuf; Warta, Joni; Rejeki, Sri
Journal of Informatic and Information Security Vol. 2 No. 1 (2021): Juni 2021
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/4p4v6s58

Abstract

Activities in a company or institution are something that is usually done, the forms of these activities are generally training, socialization of new regulations, inauguration, and so on. These activities need to be recorded and the data managed as documentation or reference and consideration in subsequent activities. This activity requires planning starting from preparation, scheduling, distributing invitations via email, to implementing and recording the attendance of invited participants. The case study was conducted at PT Pelni Indonesia as an Indonesian National Shipping company that often carries out internal activities within the company. The problem that occurs in the management of company activities at PT Pelni is that so far it is still using the manual system. The participant registration process, participant data collection, sending invitations, recording participant attendance and so on are carried out in handwriting and stored in an excel file. Of course, this makes it difficult to search and manage data, and allows data loss or document slippage to occur. One solution that can be used to overcome these problems is to build an information system for managing company activity data. The management system can assist the HRD for data management needed in the implementation of activities carried out by the company. QR Code technology is also used to encrypt participant invitation numbers, verify participant data and to record attendance. The result of developing this system is a data management system for company activities by utilizing Quick Response Code (QR Code) technology. The generated QR Code can store various participant data in only 1 code and is used to verify participant data.
Sistem Monitoring pH, Suhu, dan Pakan Otomatis pada Budidaya Lobster Air Tawar Berbasis IoT Menggunakan Metode K-NN Shifa Anamika; Warta, Joni; Prio Kustanto
Journal of Informatic and Information Security Vol. 3 No. 2 (2022): Desember 2022
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/31cc7264

Abstract

This study aims to design an automated system tool for freshwater crayfish aquaculture based on the Internet of Things (IoT). In lobster cultivation, it is necessary to pay attention to important factors for the success of cultivation, namely environmental conditions, feed and water quality. Water quality that must be considered from the water temperature and pH of the water. In thisautomatic system, sensors are made that can monitor pH, temperature and feed automatically. The design of this tool for monitoring pH, temperature and feed can be controlled through the Blynk application and using the K-Nearest Neighbor (K-NN) method can help in calculating the distance to the expected water quality. The tool made can be run remotely with a micro device called Wemos D1 as the central controller which is connected to the application and the temperature sensor used is a Thermocouple and a pH meter sensor. With this automatic system tool, it can be used properly so that it can produce lobster with good quality.
Implementasi Metode SVM untuk Klasifikasi Bunga dengan Ekstraksi Fitur Histogram of Gradient (HOG) Henny Leidiyana; Warta, Joni
Journal of Informatic and Information Security Vol. 3 No. 1 (2022): Juni 2022
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/f3cgcv61

Abstract

Feature extraction techniques are applied to obtain features that will be useful in classifying and recognizing images. Feature extraction techniques are very helpful in various image processing applications. Many studies show the effectiveness of feature extraction before classification. There is also research showing that a feature extraction method may be good for certain classification approaches but may also be preferable. The impact of the sample and its size can also determine the results of the application of feature extraction techniques in the classification process. In this study, the author aims to prove the effectiveness of the application of the HOG feature extraction technique on the classification with the SVM method on flower images. The experiment was carried out on two groups of images, where the first group was image classes with relatively uniform colors and shapes, both in shape and color. and the second group is image classes with relatively different colors and shapes in the same class. The results showed that image datasets with relatively uniform colors and shapes do not require the application of any feature extraction to produce high accuracy. For classification by performing feature extraction in this study it gives different results for the two interest groups.
Co-Authors -, Rasim ., Rasim Achmad Noe’man Agus Hidayat Alexander, Allan D Alexander, Allan D Alif Septiyanto Amaliah Annisa Annisa, Amaliah Ardha Maliki Asep R. Hamdani Asep Ramdhani M Asep Ramdhani Mahbub Cecep Kusmana Dani Yusuf Dimas Abimanyu Prasetyo Dwi Budi Srisulistiowati Hadi Kurniawanto Hantoro, Kusdarnowo Henny Leidiyana Irsya Fadillah Jeremiah Marvin Kapoyos Khaerudin, Muhamad Khoirunnisaa, Nabiilah Kustanto , Prio Mahbub, Asep Ramdhani Maria Ulfah Mugiarso Mugiarso Muhamad Khaerudin Muhammad Khaerudin Nurfiyah Nurhasan Nugroho Priatna , Wowon RAFIKA SARI Rafika Sari Ramadhan, Idrus Rasim Rasim Ratna Salkiawati Rinaldi Tunnisia Ritzkal, Ritzkal Shifa Anamika Sinaga, Zulkani Sri Rejeki Sulistiyo, Dwi Tyastuti Sri Lestari Widodo, Hernowo